JAKARTA Technology is not easy to study, especially Artificial Intelligence (AI), because there are many foreign terms in it. Before exploring the AI sector, you need to understand the term first.

Actually, there are many complicated terms regarding AI. However, there are some simple terms that you can learn first. Here are some terms in the AI field that you must know, quoted via TechCrunch.

AGI

One of the terms AI is often mentioned is Artificial General Intelligence (AGI). If interpreted, this term becomes unclear because AGI refers to more sophisticated AI. Its capabilities are likened to more than humans in general.

However, there are also those who define AGI as an AI that has the ability to be equal to humans. The party who has this view is Google DeepMind.

AI Agent

You may also be confused by this term. AI agents refer to technologies that are able to work on your various tasks. AI agents are not the same as chatbots because they have better and more sophisticated capabilities.

For example, chatbots can only provide an overview and answer to a question. However, AI agents are able to work on several tasks such as making record expenses, booking tickets, or even developing codes.

Hallucination

The next term that is often discussed in the AI industry is hallucinations. This term refers to problems that are often found in generative AI, namely misleading or fabricated responses and as if it looks true.

This problem needs to be handled seriously because it can cause misinformation. What's more, nowadays many people rely on AI to do their job. If the results are wrong, the AI model needs to be trained even better.

Big Language Model (LLM)

The big language model, abbreviation to the large Laguage model (LLM), refers to the AI model used by popular AI assistants. Some of the assistants who use LLM are ChatGPT, Claude, Gemini, Llama, to Copilot.

LLM is designed using billions of numerical parameters that study the relationship between words and phrases. This model is made using pattern coding that can be found in billions of books, articles, and transcripts.


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